Analysis Technologies of Atmospheric Pollution Processes Based on Ground and Satellite Observations

Abstract

Technologies for analyzing atmospheric pollution processes based ground measurements and high-resolution multispectral images were developed. Physico-chemical characteristics of snow samples and calculated snow index (NDSI) are the original data of the analysis. Functional relationships based on light and monodisperse impurities models of the spread in the atmosphere between ground observation data and NDSI were found. A GIS system that implements these methods was developed in Python. GIS was tested at objects of the industrial zone of Iskitim district.

Ground and satellite monitoring of atmospheric pollution processes in urban areas

“…Linear correlation analysis methods were used to search for functional relationships between the amount of foreign impurities in snow samples and the value of the snow index (NDSI) calculated from satellite data. The capabilities of the developed geographic information system (GIS) were used to graphically represent the results of numerical modeling [15].…”

“…Lowparameter models of mono-and polydisperse, in the case of low sources -light impurities can be used to reconstruct contamination fields. The features of the models (namely, the presence of aggregated parameters) make it possible to numerically reconstruct the concentration field with a limited set of ground-based observations [3,13,14,15]. The use of multispectral satellite images makes it possible to calculate the Normalized Difference Snow Index (NDSI), which indirectly characterizes the presence of impurities in the snow [16,17].…”